Hi Till,Thanks for the reply .I have doubt that input has problem because :1. if input has some problem than it should not come in the topic itself as schema validation fail at producer side only.2. i am using the same schema that was used to writed the record in topic and i am able to parse the record with same schema as when i try to print the stream its not giving any error , only problem occurring when writing as parquet.This is the code that i am using to get the schema that i m passing to parquetwriter.public static Schema getSchema(String subjectName) {
try {
List<Integer> versions = registryClient.getAllVersions(subjectName);
SchemaMetadata schemaMeta = registryClient.getSchemaMetadata(subjectName, versions.get(versions.size() - 1));
Schema schema = new Schema.Parser().parse(schemaMeta.getSchema());
return schema;
} catch (Exception e) {
e.printStackTrace();
return null;
}
}How input can pass through and inserted in topic if it has some issue. Even if its occusring how to find those record and skip that so that because of one record my whole processing should not fail.Thanks,AnujOn Sat, Feb 29, 2020 at 9:12 PM Till Rohrmann <[hidden email]> wrote:Hi Anuj,it looks to me that your input GenericRecords don't conform with your output schema schemaSubject. At least, the stack trace says that your output schema expects some String field but the field was actually some ArrayList. Consequently, I would suggest to verify that your input data has the right format and if not to filter those records out which are non-conformant.Cheers,TillOn Sat, Feb 29, 2020 at 2:13 PM aj <[hidden email]> wrote:Hi All,
i have Written a consumer that read from kafka topic and write the data in parquet format using StreamSink . But i am getting following error. Its runs for some hours than start failing with this excpetions. I tried to restart it but failing with same exceptions.After i restart with latest offset it started working fine for soem hours and than again fail. I am not able to find root cause for this issue.
java.lang.Exception: org.apache.flink.streaming.runtime.tasks.ExceptionInChainedOperatorException: Could not forward element to next operator at org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.checkThrowSourceExecutionException(SourceStreamTask.java:212) at org.apache.flink.streaming.runtime.tasks.SourceStreamTask.performDefaultAction(SourceStreamTask.java:132) at org.apache.flink.streaming.runtime.tasks.StreamTask.run(StreamTask.java:298) at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:403) at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705) at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530) at java.lang.Thread.run(Thread.java:748) Caused by: org.apache.flink.streaming.runtime.tasks.ExceptionInChainedOperatorException: Could not forward element to next operator at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:651) at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:612) at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:592) at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:727) at org.apache.flink.streaming.api.operators.AbstractStreamOperator$CountingOutput.collect(AbstractStreamOperator.java:705) at org.apache.flink.streaming.api.operators.StreamSourceContexts$NonTimestampContext.collect(StreamSourceContexts.java:104) at org.apache.flink.streaming.api.operators.StreamSourceContexts$NonTimestampContext.collectWithTimestamp(StreamSourceContexts.java:111) at org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher.emitRecordWithTimestamp(AbstractFetcher.java:398) at org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.emitRecord(KafkaFetcher.java:185) at org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.runFetchLoop(KafkaFetcher.java:150) at org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.run(FlinkKafkaConsumerBase.java:715) at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:100) at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:63) at org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:202) Caused by: java.lang.ClassCastException: java.util.ArrayList cannot be cast to java.lang.CharSequence at org.apache.parquet.avro.AvroWriteSupport.fromAvroString(AvroWriteSupport.java:371) at org.apache.parquet.avro.AvroWriteSupport.writeValueWithoutConversion(AvroWriteSupport.java:346) at org.apache.parquet.avro.AvroWriteSupport.writeValue(AvroWriteSupport.java:278) at org.apache.parquet.avro.AvroWriteSupport.writeRecordFields(AvroWriteSupport.java:191) at org.apache.parquet.avro.AvroWriteSupport.write(AvroWriteSupport.java:165) at org.apache.parquet.hadoop.InternalParquetRecordWriter.write(InternalParquetRecordWriter.java:128) at org.apache.parquet.hadoop.ParquetWriter.write(ParquetWriter.java:299) at org.apache.flink.formats.parquet.ParquetBulkWriter.addElement(ParquetBulkWriter.java:52) at org.apache.flink.streaming.api.functions.sink.filesystem.BulkPartWriter.write(BulkPartWriter.java:50) at org.apache.flink.streaming.api.functions.sink.filesystem.Bucket.write(Bucket.java:214) at org.apache.flink.streaming.api.functions.sink.filesystem.Buckets.onElement(Buckets.java:268) at org.apache.flink.streaming.api.functions.sink.filesystem.StreamingFileSink.invoke(StreamingFileSink.java:370) at org.apache.flink.streaming.api.operators.StreamSink.processElement(StreamSink.java:56) at org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:637)
code :
DataStream<GenericRecord> sourceStream = env.addSource(kafkaConsumer010);
final StreamingFileSink<GenericRecord> sink = StreamingFileSink.forBulkFormat (path, ParquetAvroWriters.forGenericRecord(SchemaUtils.getSchema(schemaSubject))) .withBucketAssigner(new EventTimeBucketAssigner()) .build(); sourceStream.addSink(sink).setParallelism(parallelism);I need to undetstand why its ran for few hours than start failing. Please help me to understand this.
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